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Full Time Data Science Analytics Jobs in Columbus, OH

Job Summary The Health Research and Analytics (HRA) business line is seeking a highly motivated, full-time Data Scientist to join our team in support of our government customer, U.S. Special ...

Job Summary The Health Research and Analytics (HRA) business line is seeking a highly motivated, full-time Data Scientist to join our team in support of our government customer, U.S. Special ...

The Data Science Consultant role involves solving data problems end to end, utilizing machine learning and data analysis to enhance customer value and drive business growth. Responsibilities : • ...

... science problems and design appropriate modeling strategies * Build product-ready models that can be integrated into client-facing and internal applications * Conduct exploratory data analysis ...

For example: • Fosters communities of practice and training programs that bring together business analysts, data analysts/scientists and data stewards/owners across the enterprise to share ...

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Full Time Data Science Analytics information

See Columbus, OH salary details

$36.2K

$118.6K

$189.8K

How much do full time data science analytics jobs pay per year?

As of May 28, 2026, the average yearly pay for full time data science analytics in Columbus, OH is $118,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $131,400.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Data Science Analytics vs Data Analyst?

AspectFull Time Data Science AnalyticsData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentCross-functional teams, often in tech or finance industriesBusiness units, marketing, finance departments
Employer & Industry UsageTech companies, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Full Time Data Science Analytics roles typically require advanced degrees and involve building predictive models and machine learning algorithms, often in tech-driven industries. Data Analysts focus on interpreting data, creating reports, and supporting decision-making with descriptive analytics. While both roles analyze data, Data Science Analytics emphasizes predictive and prescriptive insights, whereas Data Analysts focus on historical data analysis.

What are the most commonly searched types of Data Science Analytics jobs in Columbus, OH? The most popular types of Data Science Analytics jobs in Columbus, OH are:
What are popular job titles related to Full Time Data Science Analytics jobs in Columbus, OH? For Full Time Data Science Analytics jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Full Time Data Science Analytics jobs in Columbus, OH look for? The top searched job categories for Full Time Data Science Analytics jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Full Time Data Science Analytics jobs? Cities near Columbus, OH with the most Full Time Data Science Analytics job openings:
Data Science Senior Associate - Consumer Bank Marketing Analytics

Data Science Senior Associate - Consumer Bank Marketing Analytics

JP Morgan Chase

Columbus, OH

Full-time

Medical, Retirement

Posted 15 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 466 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Join a talented and diverse group of analysts driving strategy and innovation across Chase Consumer Bank using data-driven approaches. You will help shape how we measure impact, learn quickly, and optimize investment by translating complex data into clear, actionable insights.

As a Data Science Senior Associate at JPMorganChase within Consumer Bank Marketing Analytics, you will own measurement and testing for Chase First Banking marketing campaigns. You will partner closely with stakeholders to design experiments, evaluate performance, and deliver recommendations that strengthen long-term customer relationships and improve retention-while contributing to an inclusive and collaborative team culture.

Job responsibilities

  • Lead analytics strategy, planning, and execution for Chase First Banking marketing campaigns
  • Deliver regular campaign performance measurement and reporting
  • Conduct unstructured, ad hoc analyses of customer behavior and engagement
  • Execute A/B and incrementality test readouts, including interpretation and recommendations
  • Perform profitability, optimization, and return-on-investment analyses to inform investment decisions
  • Consult on experimental design and data collection, developing new measurement approaches with stakeholders and partner teams
  • Translate results into clear narratives and present insights to stakeholders and senior management
  • Contribute to innovation initiatives that advance analytics methods and scalability
  • Collaborate across Marketing Analytics and Test Design teams while supporting an inclusive team environment
  • Maintain a rigorous controls environment to ensure accurate, timely, and reproducible results

Required qualifications, capabilities and skills

  • Bachelor's degree in a quantitative discipline (e.g., Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related field)
  • 3+ years of experience applying statistical methods to real-world business problems
  • 3+ years of experience using SQL and at least one of the following: SAS, Python, or R
  • Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Claude Code, or similar) to accelerate analysis and code development
  • Experience using data visualization techniques for analysis and stakeholder-ready storytelling
  • Hands-on experience with A/B and incrementality testing methodologies, including experimental design, significance evaluation, and translating results into business recommendations
  • Experience with web analytics tools (e.g., Google Analytics, Adobe/Omniture Insight/Visual Sciences, Webtrends, CoreMetrics, etc.)
  • Strong written and verbal communication and presentation skills, with experience communicating effectively across levels and partner groups
  • Master's degree in a quantitative discipline (e.g., Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related field)

Preferred qualifications, capabilities and skills

  • Intellectual curiosity and motivation to build deep subject matter expertise in a focus area
  • Strategic thinking with an ability to stay anchored to measurable business goals
  • Strong organization skills with the ability to prioritize multiple workstreams effectively
  • Strong relationship-building skills and comfort partnering with key stakeholders
  • Tableau preferred.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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